Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 266 |
| Missing cells | 844 |
| Missing cells (%) | 22.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 58.7 KiB |
| Average record size in memory | 225.9 B |
Variable types
| Categorical | 2 |
|---|---|
| Unsupported | 2 |
| Numeric | 10 |
Country Name has a high cardinality: 266 distinct values | High cardinality |
Country Code has a high cardinality: 266 distinct values | High cardinality |
2000 is highly correlated with 2011 and 8 other fields | High correlation |
2011 is highly correlated with 2000 and 8 other fields | High correlation |
2012 is highly correlated with 2000 and 8 other fields | High correlation |
2013 is highly correlated with 2000 and 8 other fields | High correlation |
2014 is highly correlated with 2000 and 8 other fields | High correlation |
2015 is highly correlated with 2000 and 8 other fields | High correlation |
2016 is highly correlated with 2000 and 8 other fields | High correlation |
2017 is highly correlated with 2000 and 8 other fields | High correlation |
2018 is highly correlated with 2000 and 8 other fields | High correlation |
2019 is highly correlated with 2000 and 8 other fields | High correlation |
2000 is highly correlated with 2011 and 8 other fields | High correlation |
2011 is highly correlated with 2000 and 8 other fields | High correlation |
2012 is highly correlated with 2000 and 8 other fields | High correlation |
2013 is highly correlated with 2000 and 8 other fields | High correlation |
2014 is highly correlated with 2000 and 8 other fields | High correlation |
2015 is highly correlated with 2000 and 8 other fields | High correlation |
2016 is highly correlated with 2000 and 8 other fields | High correlation |
2017 is highly correlated with 2000 and 8 other fields | High correlation |
2018 is highly correlated with 2000 and 8 other fields | High correlation |
2019 is highly correlated with 2000 and 8 other fields | High correlation |
2000 is highly correlated with 2011 and 8 other fields | High correlation |
2011 is highly correlated with 2000 and 8 other fields | High correlation |
2012 is highly correlated with 2000 and 8 other fields | High correlation |
2013 is highly correlated with 2000 and 8 other fields | High correlation |
2014 is highly correlated with 2000 and 8 other fields | High correlation |
2015 is highly correlated with 2000 and 8 other fields | High correlation |
2016 is highly correlated with 2000 and 8 other fields | High correlation |
2017 is highly correlated with 2000 and 8 other fields | High correlation |
2018 is highly correlated with 2000 and 8 other fields | High correlation |
2019 is highly correlated with 2000 and 8 other fields | High correlation |
2000 is highly correlated with 2011 and 8 other fields | High correlation |
2011 is highly correlated with 2000 and 8 other fields | High correlation |
2012 is highly correlated with 2000 and 8 other fields | High correlation |
2013 is highly correlated with 2000 and 8 other fields | High correlation |
2014 is highly correlated with 2000 and 8 other fields | High correlation |
2015 is highly correlated with 2000 and 8 other fields | High correlation |
2016 is highly correlated with 2000 and 8 other fields | High correlation |
2017 is highly correlated with 2000 and 8 other fields | High correlation |
2018 is highly correlated with 2000 and 8 other fields | High correlation |
2019 is highly correlated with 2000 and 8 other fields | High correlation |
1990 has 266 (100.0%) missing values | Missing |
2000 has 34 (12.8%) missing values | Missing |
2011 has 29 (10.9%) missing values | Missing |
2012 has 30 (11.3%) missing values | Missing |
2013 has 31 (11.7%) missing values | Missing |
2014 has 31 (11.7%) missing values | Missing |
2015 has 31 (11.7%) missing values | Missing |
2016 has 32 (12.0%) missing values | Missing |
2017 has 31 (11.7%) missing values | Missing |
2018 has 31 (11.7%) missing values | Missing |
2019 has 32 (12.0%) missing values | Missing |
2020 has 266 (100.0%) missing values | Missing |
Country Name is uniformly distributed | Uniform |
Country Code is uniformly distributed | Uniform |
Country Name has unique values | Unique |
Country Code has unique values | Unique |
1990 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
2020 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Reproduction
| Analysis started | 2022-04-02 20:13:57.146836 |
|---|---|
| Analysis finished | 2022-04-02 20:14:11.998926 |
| Duration | 14.85 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 266 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.2 KiB |
| Afghanistan | 1 |
|---|---|
| St. Lucia | 1 |
| Serbia | 1 |
| Seychelles | 1 |
| Sierra Leone | 1 |
| Other values (261) |
Length
| Max length | 52 |
|---|---|
| Median length | 9 |
| Mean length | 12.40225564 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 266 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Albania |
| 3rd row | Algeria |
| 4th row | American Samoa |
| 5th row | Andorra |
Common Values
| Value | Count | Frequency (%) |
| Afghanistan | 1 | 0.4% |
| St. Lucia | 1 | 0.4% |
| Serbia | 1 | 0.4% |
| Seychelles | 1 | 0.4% |
| Sierra Leone | 1 | 0.4% |
| Singapore | 1 | 0.4% |
| Sint Maarten (Dutch part) | 1 | 0.4% |
| Slovak Republic | 1 | 0.4% |
| Slovenia | 1 | 0.4% |
| Solomon Islands | 1 | 0.4% |
| Other values (256) | 256 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 20 | 4.0% | |
| and | 12 | 2.4% |
| income | 11 | 2.2% |
| ida | 10 | 2.0% |
| africa | 9 | 1.8% |
| islands | 9 | 1.8% |
| asia | 8 | 1.6% |
| ibrd | 8 | 1.6% |
| middle | 7 | 1.4% |
| rep | 7 | 1.4% |
| Other values (310) | 404 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 266 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.7 KiB |
| AFG | 1 |
|---|---|
| LCA | 1 |
| SRB | 1 |
| SYC | 1 |
| SLE | 1 |
| Other values (261) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 266 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | AFG |
|---|---|
| 2nd row | ALB |
| 3rd row | DZA |
| 4th row | ASM |
| 5th row | AND |
Common Values
| Value | Count | Frequency (%) |
| AFG | 1 | 0.4% |
| LCA | 1 | 0.4% |
| SRB | 1 | 0.4% |
| SYC | 1 | 0.4% |
| SLE | 1 | 0.4% |
| SGP | 1 | 0.4% |
| SXM | 1 | 0.4% |
| SVK | 1 | 0.4% |
| SVN | 1 | 0.4% |
| SLB | 1 | 0.4% |
| Other values (256) | 256 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| afg | 1 | 0.4% |
| bhr | 1 | 0.4% |
| cpv | 1 | 0.4% |
| bdi | 1 | 0.4% |
| dza | 1 | 0.4% |
| asm | 1 | 0.4% |
| and | 1 | 0.4% |
| ago | 1 | 0.4% |
| atg | 1 | 0.4% |
| arg | 1 | 0.4% |
| Other values (256) | 256 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 229 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 34 |
| Missing (%) | 12.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 279.8779907 |
| Minimum | 0.57049705 |
|---|---|
| Maximum | 2415.328507 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 0.57049705 |
|---|---|
| 5-th percentile | 2.457207011 |
| Q1 | 7.65804855 |
| median | 48.13419927 |
| Q3 | 216.3881864 |
| 95-th percentile | 1563.885618 |
| Maximum | 2415.328507 |
| Range | 2414.75801 |
| Interquartile range (IQR) | 208.7301378 |
Descriptive statistics
| Standard deviation | 525.0406831 |
|---|---|
| Coefficient of variation (CV) | 1.875962743 |
| Kurtosis | 5.141387448 |
| Mean | 279.8779907 |
| Median Absolute Deviation (MAD) | 44.20960477 |
| Skewness | 2.423357841 |
| Sum | 64931.69385 |
| Variance | 275667.7189 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 32.52038031 | 2 | 0.8% |
| 10.72120784 | 2 | 0.8% |
| 4.118053261 | 2 | 0.8% |
| 45.22461223 | 1 | 0.4% |
| 192.2372923 | 1 | 0.4% |
| 23.44520933 | 1 | 0.4% |
| 727.2973353 | 1 | 0.4% |
| 90.60414955 | 1 | 0.4% |
| 178.0445002 | 1 | 0.4% |
| 568.7339825 | 1 | 0.4% |
| Other values (219) | 219 | |
| (Missing) | 34 | 12.8% |
| Value | Count | Frequency (%) |
| 0.57049705 | 1 | |
| 0.79511098 | 1 | |
| 1.18907251 | 1 | |
| 1.23969819 | 1 | |
| 1.32667073 | 1 | |
| 1.47645048 | 1 | |
| 1.68479763 | 1 | |
| 1.99905989 | 1 | |
| 2.21982536 | 1 | |
| 2.22822023 | 1 |
| Value | Count | Frequency (%) |
| 2415.328507 | 1 | |
| 2408.760867 | 1 | |
| 2315.543617 | 1 | |
| 2204.339212 | 1 | |
| 2074.399134 | 1 | |
| 2017.003456 | 1 | |
| 1962.641833 | 1 | |
| 1835.817163 | 1 | |
| 1833.387933 | 1 | |
| 1682.861504 | 1 |
| Distinct | 234 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 29 |
| Missing (%) | 10.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 681.0019943 |
| Minimum | 1.2888907 |
|---|---|
| Maximum | 7513.967795 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 1.2888907 |
|---|---|
| 5-th percentile | 5.35600152 |
| Q1 | 33.40147743 |
| median | 158.9866734 |
| Q3 | 503.6260375 |
| 95-th percentile | 3757.639513 |
| Maximum | 7513.967795 |
| Range | 7512.678904 |
| Interquartile range (IQR) | 470.2245601 |
Descriptive statistics
| Standard deviation | 1256.937454 |
|---|---|
| Coefficient of variation (CV) | 1.845717728 |
| Kurtosis | 6.762716781 |
| Mean | 681.0019943 |
| Median Absolute Deviation (MAD) | 149.1899519 |
| Skewness | 2.585040011 |
| Sum | 161397.4726 |
| Variance | 1579891.762 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 112.2690432 | 2 | 0.8% |
| 36.3423646 | 2 | 0.8% |
| 12.62839863 | 2 | 0.8% |
| 2.85096025 | 1 | 0.4% |
| 363.0535142 | 1 | 0.4% |
| 162.3043516 | 1 | 0.4% |
| 322.8937231 | 1 | 0.4% |
| 50.61476519 | 1 | 0.4% |
| 2137.786724 | 1 | 0.4% |
| 1552.12779 | 1 | 0.4% |
| Other values (224) | 224 | |
| (Missing) | 29 | 10.9% |
| Value | Count | Frequency (%) |
| 1.2888907 | 1 | |
| 1.37062323 | 1 | |
| 2.29363174 | 1 | |
| 2.85096025 | 1 | |
| 3.17643454 | 1 | |
| 3.23439581 | 1 | |
| 3.32320817 | 1 | |
| 3.98573998 | 1 | |
| 4.77990271 | 1 | |
| 4.95309925 | 1 |
| Value | Count | Frequency (%) |
| 7513.967795 | 1 | |
| 6049.912943 | 1 | |
| 5365.616736 | 1 | |
| 5251.774875 | 1 | |
| 4294.300638 | 1 | |
| 4260.184422 | 1 | |
| 3996.099132 | 1 | |
| 3954.628625 | 1 | |
| 3938.456014 | 1 | |
| 3798.766541 | 1 |
| Distinct | 233 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 30 |
| Missing (%) | 11.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 670.2650874 |
| Minimum | 2.233482 |
|---|---|
| Maximum | 7602.645368 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 2.233482 |
|---|---|
| 5-th percentile | 5.603837765 |
| Q1 | 32.00027084 |
| median | 161.257059 |
| Q3 | 531.5244526 |
| 95-th percentile | 3607.044266 |
| Maximum | 7602.645368 |
| Range | 7600.411886 |
| Interquartile range (IQR) | 499.5241818 |
Descriptive statistics
| Standard deviation | 1219.08964 |
|---|---|
| Coefficient of variation (CV) | 1.818817156 |
| Kurtosis | 7.027912887 |
| Mean | 670.2650874 |
| Median Absolute Deviation (MAD) | 150.595399 |
| Skewness | 2.603050513 |
| Sum | 158182.5606 |
| Variance | 1486179.551 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 110.1229754 | 2 | 0.8% |
| 35.60138053 | 2 | 0.8% |
| 12.41024826 | 2 | 0.8% |
| 2.233482 | 1 | 0.4% |
| 340.4251511 | 1 | 0.4% |
| 184.486914 | 1 | 0.4% |
| 325.0363468 | 1 | 0.4% |
| 47.90269473 | 1 | 0.4% |
| 1868.397852 | 1 | 0.4% |
| 1399.208438 | 1 | 0.4% |
| Other values (223) | 223 | |
| (Missing) | 30 | 11.3% |
| Value | Count | Frequency (%) |
| 2.233482 | 1 | |
| 2.26146207 | 1 | |
| 3.2199983 | 1 | |
| 3.29831521 | 1 | |
| 3.52288388 | 1 | |
| 3.56672576 | 1 | |
| 4.80208046 | 1 | |
| 4.85543904 | 1 | |
| 5.27295412 | 1 | |
| 5.3918788 | 1 |
| Value | Count | Frequency (%) |
| 7602.645368 | 1 | |
| 5267.275723 | 1 | |
| 5042.71027 | 1 | |
| 5042.004758 | 1 | |
| 4374.621488 | 1 | |
| 4292.133583 | 1 | |
| 4074.731279 | 1 | |
| 4054.835024 | 1 | |
| 3874.937859 | 1 | |
| 3746.581275 | 1 |
| Distinct | 232 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 31 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 697.4826526 |
| Minimum | 2.28264735 |
|---|---|
| Maximum | 7857.194681 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 2.28264735 |
|---|---|
| 5-th percentile | 6.363748261 |
| Q1 | 34.17016068 |
| median | 173.3058293 |
| Q3 | 600.4022295 |
| 95-th percentile | 3762.864651 |
| Maximum | 7857.194681 |
| Range | 7854.912034 |
| Interquartile range (IQR) | 566.2320688 |
Descriptive statistics
| Standard deviation | 1252.734034 |
|---|---|
| Coefficient of variation (CV) | 1.796079128 |
| Kurtosis | 7.139495329 |
| Mean | 697.4826526 |
| Median Absolute Deviation (MAD) | 162.1037076 |
| Skewness | 2.598989039 |
| Sum | 163908.4234 |
| Variance | 1569342.561 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 111.7014827 | 2 | 0.8% |
| 34.17016068 | 2 | 0.8% |
| 12.10874933 | 2 | 0.8% |
| 2.77086252 | 1 | 0.4% |
| 62.42280815 | 1 | 0.4% |
| 333.8731052 | 1 | 0.4% |
| 62.51436738 | 1 | 0.4% |
| 1867.229803 | 1 | 0.4% |
| 309.3624566 | 1 | 0.4% |
| 1004.741727 | 1 | 0.4% |
| Other values (222) | 222 | |
| (Missing) | 31 | 11.7% |
| Value | Count | Frequency (%) |
| 2.28264735 | 1 | |
| 2.45388411 | 1 | |
| 2.77086252 | 1 | |
| 3.71364497 | 1 | |
| 3.73811169 | 1 | |
| 3.75726057 | 1 | |
| 3.95966466 | 1 | |
| 4.65340911 | 1 | |
| 5.2628843 | 1 | |
| 5.36567992 | 1 |
| Value | Count | Frequency (%) |
| 7857.194681 | 1 | |
| 5626.713191 | 1 | |
| 5330.714843 | 1 | |
| 5254.993657 | 1 | |
| 4215.403784 | 1 | |
| 4178.85324 | 1 | |
| 3939.88214 | 1 | |
| 3897.628028 | 1 | |
| 3887.333999 | 1 | |
| 3849.571869 | 1 |
| Distinct | 232 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 31 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 714.7074818 |
| Minimum | 2.68126936 |
|---|---|
| Maximum | 7776.915436 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 2.68126936 |
|---|---|
| 5-th percentile | 7.356971692 |
| Q1 | 34.237398 |
| median | 182.6802192 |
| Q3 | 620.5475965 |
| 95-th percentile | 3787.145344 |
| Maximum | 7776.915436 |
| Range | 7774.234167 |
| Interquartile range (IQR) | 586.3101985 |
Descriptive statistics
| Standard deviation | 1274.341442 |
|---|---|
| Coefficient of variation (CV) | 1.783025188 |
| Kurtosis | 6.651435246 |
| Mean | 714.7074818 |
| Median Absolute Deviation (MAD) | 169.9954358 |
| Skewness | 2.545959465 |
| Sum | 167956.2582 |
| Variance | 1623946.111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 122.3066641 | 2 | 0.8% |
| 33.81996224 | 2 | 0.8% |
| 12.68478338 | 2 | 0.8% |
| 2.92699537 | 1 | 0.4% |
| 67.56924476 | 1 | 0.4% |
| 364.9630641 | 1 | 0.4% |
| 61.57913585 | 1 | 0.4% |
| 1882.801262 | 1 | 0.4% |
| 305.4275926 | 1 | 0.4% |
| 1022.894917 | 1 | 0.4% |
| Other values (222) | 222 | |
| (Missing) | 31 | 11.7% |
| Value | Count | Frequency (%) |
| 2.68126936 | 1 | |
| 2.92699537 | 1 | |
| 3.01820324 | 1 | |
| 3.94676136 | 1 | |
| 4.00118995 | 1 | |
| 4.0434569 | 1 | |
| 4.81414296 | 1 | |
| 5.66212682 | 1 | |
| 5.84865715 | 1 | |
| 6.63334406 | 1 |
| Value | Count | Frequency (%) |
| 7776.915436 | 1 | |
| 5550.832274 | 1 | |
| 5516.716844 | 1 | |
| 5371.952246 | 1 | |
| 4531.417273 | 1 | |
| 4444.299492 | 1 | |
| 4087.855821 | 1 | |
| 3916.284719 | 1 | |
| 3911.283405 | 1 | |
| 3871.980928 | 1 |
| Distinct | 232 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 31 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 646.5995305 |
| Minimum | 1.72049046 |
|---|---|
| Maximum | 6469.649538 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 1.72049046 |
|---|---|
| 5-th percentile | 6.224630043 |
| Q1 | 32.30690365 |
| median | 179.1296584 |
| Q3 | 594.5969643 |
| 95-th percentile | 3278.00493 |
| Maximum | 6469.649538 |
| Range | 6467.929048 |
| Interquartile range (IQR) | 562.2900607 |
Descriptive statistics
| Standard deviation | 1127.252359 |
|---|---|
| Coefficient of variation (CV) | 1.743354745 |
| Kurtosis | 5.888108321 |
| Mean | 646.5995305 |
| Median Absolute Deviation (MAD) | 164.8218492 |
| Skewness | 2.461256533 |
| Sum | 151950.8897 |
| Variance | 1270697.882 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 111.1197208 | 2 | 0.8% |
| 32.32799362 | 2 | 0.8% |
| 14.11093358 | 2 | 0.8% |
| 3.04678667 | 1 | 0.4% |
| 69.50385864 | 1 | 0.4% |
| 362.4848778 | 1 | 0.4% |
| 65.92125953 | 1 | 0.4% |
| 1675.232129 | 1 | 0.4% |
| 287.5369668 | 1 | 0.4% |
| 873.1384159 | 1 | 0.4% |
| Other values (222) | 222 | |
| (Missing) | 31 | 11.7% |
| Value | Count | Frequency (%) |
| 1.72049046 | 1 | |
| 3.04678667 | 1 | |
| 3.29227445 | 1 | |
| 3.3025013 | 1 | |
| 3.56752165 | 1 | |
| 4.45942546 | 1 | |
| 5.03007415 | 1 | |
| 5.38167514 | 1 | |
| 5.79152348 | 1 | |
| 5.79209948 | 1 |
| Value | Count | Frequency (%) |
| 6469.649538 | 1 | |
| 4804.292251 | 1 | |
| 4700.708717 | 1 | |
| 4651.128592 | 1 | |
| 4604.260898 | 1 | |
| 4581.852982 | 1 | |
| 3582.186799 | 1 | |
| 3559.336807 | 1 | |
| 3459.059218 | 1 | |
| 3342.268337 | 1 |
| Distinct | 231 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 32 |
| Missing (%) | 12.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 663.6905002 |
| Minimum | 2.41127521 |
|---|---|
| Maximum | 6400.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 2.41127521 |
|---|---|
| 5-th percentile | 6.161716554 |
| Q1 | 32.72534762 |
| median | 177.2654968 |
| Q3 | 638.0792439 |
| 95-th percentile | 3413.045212 |
| Maximum | 6400.7 |
| Range | 6398.288725 |
| Interquartile range (IQR) | 605.3538962 |
Descriptive statistics
| Standard deviation | 1153.669822 |
|---|---|
| Coefficient of variation (CV) | 1.738264781 |
| Kurtosis | 5.59033444 |
| Mean | 663.6905002 |
| Median Absolute Deviation (MAD) | 162.0483114 |
| Skewness | 2.427942461 |
| Sum | 155303.5771 |
| Variance | 1330954.059 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 121.9589287 | 2 | 0.8% |
| 29.31961113 | 2 | 0.8% |
| 15.21718542 | 2 | 0.8% |
| 3.05628788 | 1 | 0.4% |
| 70.47702868 | 1 | 0.4% |
| 425.2498566 | 1 | 0.4% |
| 65.31818176 | 1 | 0.4% |
| 1700.647275 | 1 | 0.4% |
| 263.2500032 | 1 | 0.4% |
| 940.0084437 | 1 | 0.4% |
| Other values (221) | 221 | |
| (Missing) | 32 | 12.0% |
| Value | Count | Frequency (%) |
| 2.41127521 | 1 | |
| 2.59802606 | 1 | |
| 3.05628788 | 1 | |
| 3.38534346 | 1 | |
| 4.72182617 | 1 | |
| 4.86054411 | 1 | |
| 5.17153014 | 1 | |
| 5.39600836 | 1 | |
| 5.48254453 | 1 | |
| 5.67698142 | 1 |
| Value | Count | Frequency (%) |
| 6400.7 | 1 | |
| 4965.938148 | 1 | |
| 4790.867149 | 1 | |
| 4786.711875 | 1 | |
| 4681.911653 | 1 | |
| 4623.004337 | 1 | |
| 4130.945918 | 1 | |
| 3666.120573 | 1 | |
| 3508.067751 | 1 | |
| 3501.824869 | 1 |
| Distinct | 232 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 31 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 696.607828 |
| Minimum | 1.93147854 |
|---|---|
| Maximum | 6652.84943 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 1.93147854 |
|---|---|
| 5-th percentile | 6.145249215 |
| Q1 | 32.54549736 |
| median | 190.7005537 |
| Q3 | 643.0133885 |
| 95-th percentile | 3491.724895 |
| Maximum | 6652.84943 |
| Range | 6650.917951 |
| Interquartile range (IQR) | 610.4678911 |
Descriptive statistics
| Standard deviation | 1208.586612 |
|---|---|
| Coefficient of variation (CV) | 1.734959848 |
| Kurtosis | 5.599003878 |
| Mean | 696.607828 |
| Median Absolute Deviation (MAD) | 174.4709034 |
| Skewness | 2.431151855 |
| Sum | 163702.8396 |
| Variance | 1460681.598 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 128.7506537 | 2 | 0.8% |
| 31.549521 | 2 | 0.8% |
| 17.44362358 | 2 | 0.8% |
| 3.34826009 | 1 | 0.4% |
| 72.69208452 | 1 | 0.4% |
| 61.011071 | 1 | 0.4% |
| 1782.143957 | 1 | 0.4% |
| 2.22710847 | 1 | 0.4% |
| 305.2274087 | 1 | 0.4% |
| 939.9138834 | 1 | 0.4% |
| Other values (222) | 222 | |
| (Missing) | 31 | 11.7% |
| Value | Count | Frequency (%) |
| 1.93147854 | 1 | |
| 2.0749774 | 1 | |
| 2.22710847 | 1 | |
| 3.2862543 | 1 | |
| 3.34826009 | 1 | |
| 4.00745354 | 1 | |
| 4.22658005 | 1 | |
| 4.67414164 | 1 | |
| 4.9007599 | 1 | |
| 5.13911695 | 1 |
| Value | Count | Frequency (%) |
| 6652.84943 | 1 | |
| 5117.236419 | 1 | |
| 5036.493596 | 1 | |
| 4944.985093 | 1 | |
| 4943.278498 | 1 | |
| 4873.521752 | 1 | |
| 4843.678362 | 1 | |
| 3929.435402 | 1 | |
| 3692.657462 | 1 | |
| 3668.343198 | 1 |
| Distinct | 232 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 31 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 739.7635891 |
| Minimum | 2.72140895 |
|---|---|
| Maximum | 7089.272138 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 2.72140895 |
|---|---|
| 5-th percentile | 6.032781164 |
| Q1 | 31.86696163 |
| median | 196.3500438 |
| Q3 | 694.1828161 |
| 95-th percentile | 3611.639302 |
| Maximum | 7089.272138 |
| Range | 7086.550729 |
| Interquartile range (IQR) | 662.3158545 |
Descriptive statistics
| Standard deviation | 1283.026584 |
|---|---|
| Coefficient of variation (CV) | 1.734373796 |
| Kurtosis | 5.605154139 |
| Mean | 739.7635891 |
| Median Absolute Deviation (MAD) | 180.5279396 |
| Skewness | 2.429206669 |
| Sum | 173844.4434 |
| Variance | 1646157.215 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 126.8817006 | 2 | 0.8% |
| 31.86696163 | 2 | 0.8% |
| 17.26714548 | 2 | 0.8% |
| 2.72140895 | 1 | 0.4% |
| 75.07428537 | 1 | 0.4% |
| 74.06991332 | 1 | 0.4% |
| 1925.699262 | 1 | 0.4% |
| 2.91472014 | 1 | 0.4% |
| 323.4412527 | 1 | 0.4% |
| 1029.724096 | 1 | 0.4% |
| Other values (222) | 222 | |
| (Missing) | 31 | 11.7% |
| Value | Count | Frequency (%) |
| 2.72140895 | 1 | |
| 2.79260914 | 1 | |
| 2.91472014 | 1 | |
| 3.22925578 | 1 | |
| 3.36226694 | 1 | |
| 3.74254667 | 1 | |
| 4.10468102 | 1 | |
| 4.44476206 | 1 | |
| 4.9733974 | 1 | |
| 5.37704109 | 1 |
| Value | Count | Frequency (%) |
| 7089.272138 | 1 | |
| 5414.593654 | 1 | |
| 5338.817901 | 1 | |
| 5288.111803 | 1 | |
| 5214.660217 | 1 | |
| 5153.726709 | 1 | |
| 5091.372468 | 1 | |
| 4252.241002 | 1 | |
| 4065.235179 | 1 | |
| 3944.487293 | 1 |
| Distinct | 231 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 32 |
| Missing (%) | 12.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 744.4975842 |
| Minimum | 1.8114012 |
|---|---|
| Maximum | 6871.953907 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.2 KiB |
Quantile statistics
| Minimum | 1.8114012 |
|---|---|
| 5-th percentile | 6.437676671 |
| Q1 | 31.53103146 |
| median | 208.6155398 |
| Q3 | 705.0702882 |
| 95-th percentile | 3709.711893 |
| Maximum | 6871.953907 |
| Range | 6870.142506 |
| Interquartile range (IQR) | 673.5392567 |
Descriptive statistics
| Standard deviation | 1277.18292 |
|---|---|
| Coefficient of variation (CV) | 1.715496393 |
| Kurtosis | 5.337899994 |
| Mean | 744.4975842 |
| Median Absolute Deviation (MAD) | 191.9183403 |
| Skewness | 2.390572745 |
| Sum | 174212.4347 |
| Variance | 1631196.211 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31.38939384 | 2 | 0.8% |
| 19.25773806 | 2 | 0.8% |
| 130.900199 | 2 | 0.8% |
| 5.38899046 | 1 | 0.4% |
| 83.63543614 | 1 | 0.4% |
| 75.88446572 | 1 | 0.4% |
| 1914.631515 | 1 | 0.4% |
| 3.69057332 | 1 | 0.4% |
| 321.2341724 | 1 | 0.4% |
| 1057.7686 | 1 | 0.4% |
| Other values (221) | 221 | |
| (Missing) | 32 | 12.0% |
| Value | Count | Frequency (%) |
| 1.8114012 | 1 | |
| 3.2538868 | 1 | |
| 3.69057332 | 1 | |
| 3.9320352 | 1 | |
| 3.99005316 | 1 | |
| 4.44841462 | 1 | |
| 4.89910268 | 1 | |
| 5.16850142 | 1 | |
| 5.38899046 | 1 | |
| 6.07131503 | 1 |
| Value | Count | Frequency (%) |
| 6871.953907 | 1 | |
| 5552.60023 | 1 | |
| 5346.072255 | 1 | |
| 5341.746996 | 1 | |
| 5201.237375 | 1 | |
| 5000.148553 | 1 | |
| 4814.136238 | 1 | |
| 4228.478025 | 1 | |
| 4048.534173 | 1 | |
| 3890.514399 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Country Name | Country Code | 1990 | 2000 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | AFG | NaN | NaN | 2.850960 | 2.233482 | 2.770863 | 2.926995 | 3.046787 | 3.056288 | 3.348260 | 2.721409 | 5.388990 | NaN |
| 1 | Albania | ALB | NaN | 30.825579 | 104.124526 | 103.797180 | 113.417021 | 118.457388 | 107.598633 | 115.212352 | 120.758235 | 148.436569 | NaN | NaN |
| 2 | Algeria | DZA | NaN | 44.316653 | 202.944655 | 244.723577 | 235.838739 | 258.972463 | 205.426791 | 176.502810 | 170.199512 | 168.575678 | 161.333285 | NaN |
| 3 | American Samoa | ASM | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | Andorra | AND | NaN | 852.420505 | 1759.515873 | 1574.375856 | 1627.334496 | 1725.140756 | 1549.631194 | 1631.386656 | 1789.861213 | 1916.984563 | 1906.859429 | NaN |
| 5 | Angola | AGO | NaN | 7.566644 | 79.073057 | 79.731653 | 89.079049 | 71.291502 | 51.430559 | 41.986503 | 52.912518 | 36.737232 | 29.403301 | NaN |
| 6 | Antigua and Barbuda | ATG | NaN | 296.500860 | 395.111243 | 409.411217 | 398.871449 | 469.043344 | 450.943582 | 434.764289 | 421.226463 | 485.821192 | 444.297023 | NaN |
| 7 | Argentina | ARG | NaN | 387.921609 | 728.916685 | 854.263579 | 904.133482 | 841.489202 | 1021.710455 | 716.473833 | 966.729638 | 692.617431 | 589.928233 | NaN |
| 8 | Armenia | ARM | NaN | 5.945209 | 58.982019 | 58.105869 | 52.800223 | 60.011794 | 58.084991 | 58.810643 | 53.727090 | 52.110135 | 65.002513 | NaN |
| 9 | Aruba | ABW | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
Last rows
| Country Name | Country Code | 1990 | 2000 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 256 | Post-demographic dividend | PST | NaN | 1471.141277 | 3218.921641 | 3205.665006 | 3214.588167 | 3323.624883 | 3184.991708 | 3290.189780 | 3395.816792 | 3578.098665 | 3646.793027 | NaN |
| 257 | Pre-demographic dividend | PRE | NaN | 3.872118 | 17.776052 | 16.204189 | 17.281058 | 17.509556 | 16.026706 | 14.091319 | 16.579039 | 16.504514 | 17.265082 | NaN |
| 258 | Small states | SST | NaN | 127.417359 | 311.794862 | 326.425982 | 361.424615 | 386.775298 | 367.122290 | 372.123316 | 389.968494 | 399.007416 | 410.422654 | NaN |
| 259 | South Asia | SAS | NaN | 4.118053 | 12.628399 | 12.410248 | 12.108749 | 12.684783 | 14.110934 | 15.217185 | 17.443624 | 17.267145 | 19.257738 | NaN |
| 260 | South Asia (IDA & IBRD) | TSA | NaN | 4.118053 | 12.628399 | 12.410248 | 12.108749 | 12.684783 | 14.110934 | 15.217185 | 17.443624 | 17.267145 | 19.257738 | NaN |
| 261 | Sub-Saharan Africa | SSF | NaN | 10.721208 | 36.342365 | 35.601381 | 34.170161 | 33.819962 | 32.327994 | 29.319611 | 31.549521 | 31.866962 | 31.389394 | NaN |
| 262 | Sub-Saharan Africa (excluding high income) | SSA | NaN | 10.686042 | 36.312471 | 35.559504 | 34.128916 | 33.777893 | 32.285814 | 29.271693 | 31.499851 | 31.813401 | 31.337567 | NaN |
| 263 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | NaN | 10.721208 | 36.342365 | 35.601381 | 34.170161 | 33.819962 | 32.327994 | 29.319611 | 31.549521 | 31.866962 | 31.389394 | NaN |
| 264 | Upper middle income | UMC | NaN | 47.190617 | 220.521404 | 239.839442 | 264.679847 | 275.672288 | 266.540387 | 254.748927 | 281.488710 | 297.753478 | 309.201107 | NaN |
| 265 | World | WLD | NaN | 275.003856 | 600.189259 | 602.080549 | 610.230393 | 628.052018 | 599.022982 | 609.644743 | 632.019080 | 661.223987 | 671.102860 | NaN |